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ESP32 & TinyML for Smart Home: Build Intelligent Home & Homelab Automation with Edge AI, TensorFlow Lite Micro, Edge Impulse, and ESP32-S3 Vision, Aud
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Publisher: Independently Published
Published: Dec 12 2025
Pages: 364
Weight: 1.86
Height: 0.75 Width: 8.50 Depth: 11.00
Language: English
ESP32 & TinyML For Smart Home
Transform your home, workshop, or homelab with the power of ESP32-S3 microcontrollers and TinyML. This modern, fully updated beginner-friendly guide shows you how to build intelligent, offline, privacy-preserving smart home systems using real machine learning models running directly on the edge-no cloud, no subscriptions, and no external dependencies.
Designed for makers, engineers, hobbyists, and smart-home enthusiasts, ESP32 & TinyML for Smart Home: Build Intelligent Home & Homelab Automation with Edge AI, TensorFlow Lite Micro, Edge Impulse, and ESP32-S3 Vision, Audio & Sensor Projects delivers a complete hands-on pathway from foundational concepts to full-stack deployments. Every chapter includes practical labs, real code, and ready-to-use project templates.
You will learn how to use:
- ESP32-S3 boards with camera, microphone, and sensor integration
- Edge Impulse to collect data, train ML models, and deploy C++ inference libraries
- TensorFlow Lite Micro, ESP-DL, and ESP-NN for accelerated on-device AI
- MQTT, Node-RED, and Home Assistant for intelligent automations and dashboards
- OTA firmware updates, sensor fusion, and power-optimized inference loops
From detecting visitors and classifying sounds to identifying packages, monitoring environmental changes, and building multi-sensor AI systems, this book walks you step-by-step through every layer. You'll implement real models for vision, audio keyword spotting, motion analysis, environment sensing, and gesture detection, then fuse them into powerful automation workflows that transform your home into a truly intelligent environment.
The included Capstone Full-Stack Project guides you in designing and deploying a complete smart home AI system combining:
- Vision detection (person, package, presence)
- Audio event recognition (knock, clap, background)
- Environmental & PIR sensors
- MQTT message streaming and automation triggers
- Node-RED dashboards and Home Assistant scenes
- Secure OTA updates and long-term monitoring
What you build is entirely local-first and cloud-optional, ensuring privacy, reliability, and total control over your home automation ecosystem.
Whether you are building your first ESP32 project or extending your homelab with advanced AI capabilities, this book equips you with the tools, techniques, and patterns to architect intelligent, scalable, and secure smart home systems with ease.
If you're ready to bring real AI to the edge and build practical, meaningful automation projects that actually work in the real world, this is the definitive beginner's guide you've been waiting for.
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